Bias in Teaching Ratings

Last registered on February 05, 2024
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Pre-Trial

Trial Information

General Information

Title
Bias in Teaching Ratings
RCT ID
AEARCTR-0011210
Initial registration date
April 25, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 16, 2023, 12:48 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
February 05, 2024, 9:29 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

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Primary Investigator

Name
Tong Wang
Affiliation
London Business School
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Other Primary Investigator(s)

PI Name
Kamalini Ramdas
PI Affiliation
London Business School
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PI Name
Monika Heller
PI Affiliation
University College London
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Additional Trial Information

Status
In development
Start date
2023-04-26
End date
2028-05-31
Keywords
Education, Gender
Additional Keywords
Ratings
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In this pre-test, we aim to study factors that may lead to bias in teaching ratings.
External Link(s)

Registration Citation

Citation
Heller, Monika, Kamalini Ramdas and Tong Wang. 2024. "Bias in Teaching Ratings." AEA RCT Registry. February 05. https://doi.org/10.1257/rct.11210-2.3
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-04-26
Intervention End Date
2023-12-31

Primary Outcomes

Primary Outcomes (end points)
Instructors' teaching ratings: both quantitative and qualitative evaluations from students, willingness to recommend the instructor.
Student engagement: students' valuation of the course, the extent of learning, and the extent of interaction with the instructor.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We are conducting this pre-test to estimate the natural rating of male and female instructors, which will be used as a baseline for a future experiment exploring the effects of prior ratings and gender. We also need to determine the sample size for the future experiment, where the sample size will be determined based on past research and the results of the current experiment.
Experimental Design Details
Not available
Randomization Method
Randomization of the survey will be done via the randomizing function in Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1
Sample size: planned number of observations
We plan to recruit 300 participants into this pre-test.
Sample size (or number of clusters) by treatment arms
In this pre-test, we have ten Instructor personae, and thus have ten conditions. Thirty participants are assigned per condition.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
London Business School
IRB Approval Date
2020-09-08
IRB Approval Number
REC644-09062023
Analysis Plan